Team9 VS PromptQL
Compare Team9 VS PromptQL, what is the difference between Team9 and PromptQL?
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Summarize
Team9 summarize
Team9 Landing Page
PromptQL summarize
Stop splitting team knowledge between Slack and everyone's private AI chats. PromptQL is multiplayer AI for teams: think Claude or ChatGPT in shared threads. Tag teammates to review, correct, and refine answers without losing the reasoning. Connect databases, SaaS apps, coding agents, and events. PromptQL captures tribal knowledge and suggests shared-brain updates so context compounds. Scopes and multi-user permissions keep the right context accessible to the right people.
PromptQL Landing Page
Compare Details
Team9 details
| Categories | AI Agent, AI Assistant, AI Productivity Tools, AI Developer Tools, AI Knowledge Management, AI Workflow |
| Team9 Website | https://Team9.ai?utm_source=toolify |
| Added Time | February 01 2026 |
| Team9 Pricing | -- |
PromptQL details
| Categories | AI Agent, AI Knowledge Management, AI Knowledge Base, AI Assistant, AI Workflow |
| PromptQL Website | https://promptql.io?utm_source=toolify |
| Added Time | August 03 2026 |
| PromptQL Pricing | -- |
Comparison of usage
How to use Team9?
Team9 enables instant deployment of the Openclaw agent. Users simply sign up to bring Openclaw to their existing infrastructure (Mac, Linux, or WSL2) using provided installation scripts. Team9 handles the complex configuration, allowing the agent to start working for the team in minutes without manual setup of Node.js, messaging adapters, or security policies.
How to use PromptQL?
Create a shared AI thread and ask PromptQL to analyze connected business data, documents, messages, or applications. Review the sources, assumptions, and results it provides. Tag teammates to verify or correct the answer when needed. PromptQL can then suggest the correction as a wiki, skill, or semantic-layer update; review and approve it so the shared context is available to the team in future threads. Choose models per thread, monitor OLU usage, and configure permissions, quotas, and spending limits as needed.
Compare Pros between Team9 and PromptQL
Core features of Team9
- Sovereign, Local-First AI Agents (Data stays on your infrastructure)
- Instant Deployment with No Setup Required (via Team9)
- Persistent Operation (Scheduled execution, event-driven triggers)
- Connection to the Moltbook AI Agent Ecosystem (152K+ agents)
- Transparent Memory (Long-term context stored as editable Markdown)
Core features of PromptQL
- Multiplayer AI threads with shared team context
- Collaborative answer review, correction, and refinement
- Automatically suggested wiki and knowledge-base updates
- Connections to Slack, Google Docs, CRM systems, SaaS applications, data warehouses, and analytics tools
- Source citations, visible assumptions, and step-by-step work
- Reusable team skills and semantic-layer knowledge
- Wikipedia-like pages with revision history and editorial controls
- Scoped access controls and granular multi-user permissions
- Data-access audit trails
- External, confidential, and personal context separation
- Per-thread model selection across proprietary and open-weight models
- OLU-based usage tracking with per-step consumption details
- Per-user quotas, spending alerts, prepaid billing, and auto-pause controls
- Enterprise security features including SSO, private networking, dedicated VPC, and BYOC
Compare Use Cases
Use cases for Team9
- Automating daily briefings, morning updates, and nightly checks.
- Proactive server monitoring and instant health alerts.
- Managing knowledge bases, including summarizing files and updating documents.
- Orchestrating GitHub workflows, such as issue triage and PR reviews.
Use cases for PromptQL
- Analyze customer usage, support tickets, and CRM data to assess churn risk
- Create shared account knowledge by combining Slack, call transcripts, product analytics, warehouse data, and CRM records
- Detect and correct stale data sources used in financial or board reports
- Build reusable revenue, customer-success, and operational analysis skills
- Run AI analyst workflows for financial services, healthcare, and retail
- Research business questions across connected SaaS applications and databases
- Maintain internal playbooks, semantic models, and customer-facing knowledge with controlled access
- Collaborate on technical investigations involving coding agents, cloud tools, monitoring systems, and project-management platforms
Different Plan between Team9 and PromptQL
Team9
Sorry, there are no data
PromptQL
$0.20 per OLU
Introductory at-cost pricing is $0.14 per OLU. Includes up to $100 in project credits, up to $70 for each teammate who joins, no minimum usage, prepaid billing, per-user quotas, and auto-pause at zero balance. Usage on a connected personal OpenAI Codex plan costs $0 per OLU.
Custom pricing
Includes Starter features plus advanced security, fine-grained permissions, data-access audit trails, dedicated VPC or BYOC, private networking and VPC peering, SSO, bring-your-own LLMs, and forward-deployed engineering support.
Team9's traffic
Team9 is the one with 2.8K monthly visits and 00:00:30 Avg.visit duration. Team9 has a Page per visit of 1.86 and a bounce rate of 57.47%.
Visit Over Time
| Monthly Visits | 2.8K |
| Avg·visit Duration | 00:00:30 |
| Page per Visit | 1.86 |
| Bounce Rate | 57.47% |
PromptQL's traffic
PromptQL is the one with 23.2K monthly visits and 00:00:19 Avg.visit duration. PromptQL has a Page per visit of 1.77 and a bounce rate of 48.57%.
Visit Over Time
| Monthly Visits | 23.2K |
| Avg·visit Duration | 00:00:19 |
| Page per Visit | 1.77 |
| Bounce Rate | 48.57% |
Geography
The top 1 countries/regions for Team9 are:United States 100.00%
Top 1 Countries/regions
 | 100.00% |
Geography
The top 5 countries/regions for PromptQL are:India 48.58%, United States 23.13%, France 4.32%, United Kingdom 4.16%, Brazil 3.80%
Top 5 Countries/regions
 | 48.58% |
| 23.13% |
 | 4.32% |
 | 4.16% |
 | 3.80% |
Traffic Sources
The 6 main sources of traffic to Team9 are:Mail 0, vs_sourcesGenAi 0, Direct 0, vs_sourcesAffiliate 0, Referrals 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
Mail | 0 |
vs_sourcesGenAi | 0 |
Direct | 0 |
vs_sourcesAffiliate | 0 |
Referrals | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
Traffic Sources
The 6 main sources of traffic to PromptQL are:Direct 71.97%, vs_sourcesSearchOrganic 12.55%, Referrals 8.24%, vs_sourcesGenAi 4.31%, vs_sourcesSocialOrganic 2.93%, Mail 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%
Direct | 71.97% |
vs_sourcesSearchOrganic | 12.55% |
Referrals | 8.24% |
vs_sourcesGenAi | 4.31% |
vs_sourcesSocialOrganic | 2.93% |
Mail | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
Which is better: Team9 or PromptQL?
PromptQL might be a bit more popular than Team9.As you can see, Team9 has 2.8K monthly visits, while PromptQL has 23.2K monthly visits. So more people choose PromptQL. So the odds are that people will recommend PromptQL more on social platforms.
Team9 has an Avg.visit duration of 00:00:30, while PromptQL has an Avg.visit duration of 00:00:19. Also, Team9 has a page per visit of 1.86 and a Bounce Rate of 57.47%. PromptQL has a page per visit of 1.77 and a Bounce Rate of 48.57%.
The main users of Team9 are United States, with the following distribution: 100.00%.
The main users of PromptQL are India, United States, France, United Kingdom, Brazil, with the following distribution: 48.58%, 23.13%, 4.32%, 4.16%, 3.80%.
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